Author

Maximilian Teich

University of PassauORCID 0009-0000-7084-8291Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Belen EscobariiD· 1 shared Malte RehbeiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

Belen EscobariORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

EcologybioRxivPreprintOct 14, 2025

Utilizing large language models to construct a dataset of Württemberg's 19th-century fauna from historical records

Maximilian Teich, Belen Escobari, Malte Rehbein

This paper uses large language models to automatically extract species mentions from 19th-century Württemberg texts and link them to GBIF identifiers, achieving high recall and precision.

DOI 10.1101/2025.10.14.681982

deep learningdatabase / resource

𝕏 PostBluesky